QUALITY ASSESSMENT OF ORYZA SATIVA SSP INDICA (RICE) USING COMPUTER VISION

Food quality is complex, being determined by the combination of sensory, nutritive, hygienic- toxicological, and technological properties. The paper presents a solution for the problem of quality evaluation and category of Rice in an agricultural industry via computer vision, image analysis. This paper proposes parametric superiority method for quality assessment which is non-destructive and cost-effective technique. This paper also provides one automated method for counting the number of Oryza sativa L (rice seeds) from the foreign elements with a high degree of quality and then quantify the same by introducing Q-curves for quantification and assessment of the rice seeds. There is a high degree of quality achieved using computer vision as compared to human vision inspection.

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